How can the loss of species and habitats in agricultural landscapes be stopped? Up to now, measures have mostly been implemented by individual farms. In contrast, agri-environmental measures that are planned across farms at landscape level offer greater potential for creating suitable habitats for different species as a mosaic in the landscape. However, successful landscape level approaches also require cooperation between farms and other stakeholders from local governments, politics and nature conservation. Researchers at the University of Göttingen have therefore identified essential key factors that facilitate successful agricultural-environmental collaboration at landscape level. The results of the study were published in People and Nature.

Beacon Technology Solutions (Beacon), with collaborators at Illinois Institute of Technology (Illinois Tech), has been awarded a grant to support a novel study on how Far-UVC technology can help mitigate the spread of infectious diseases in public spaces. The grant was awarded through the Illinois Innovation Vouchers (IIV) Program, which fosters research collaborations between small- and medium-sized enterprises and Illinois’ world-class universities.

The BBVA Foundation Frontiers of Knowledge Awards in Economics, Finance and Management has gone in this seventeenth edition to Olivier Blanchard (Paris School of Economics and MIT), Jordi Galí (CREI and Pompeu Fabra University), and Michael Woodford (Columbia University) for “profoundly influencing modern macroeconomic analysis by establishing rigorous foundations for the study of business cycle fluctuations.”

Nanyang Technological University, Singapore (NTU Singapore) and Trinasolar, a global smart photovoltaic (PV) and energy storage solutions provider, are collaborating to develop smart energy storage systems (ESS) to enhance efficiency, reliability, and economic viability in renewable energy applications.

 

As solar, wind, and hydrogen energy sources expand globally, energy storage technologies will play a critical role in ensuring power grid stability and optimising energy use.

 

Led by the Energy Research Institute @ NTU (ERI@N), the collaboration aims to develop AI-driven tools that can improve investment decisions, enhance system stability through intelligent energy forecasting, and deploy smart optimisation algorithms for diverse energy storage applications.